On the public citation graph
A novel underwater image restoration method based on decomposition network and physical imaging model
0 signed · 64 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.22282openalex-snapshot
Optimal mixed block withholding attacks based on reinforcement learning
inferredcites →https://doi.org/10.1002/int.22518openalex-snapshot
Modeling microscopic and macroscopic information diffusion for rumor detection
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot
Indoor Segmentation and Support Inference from RGBD Images
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.020openalex-snapshot
Underwater image quality enhancement through integrated color model with Rayleigh distribution
inferredcites →https://doi.org/10.1016/j.asoc.2019.04.025openalex-snapshot
The extended marine underwater environment database and baseline evaluations
inferredcites →https://doi.org/10.1016/j.image.2020.115892openalex-snapshot
Underwater image enhancement with global–local networks and compressed-histogram equalization
inferredcites →https://doi.org/10.1016/j.jvcir.2014.11.006openalex-snapshot
Automatic Red-Channel underwater image restoration
inferredcites →https://doi.org/10.1016/j.jvcir.2018.03.008openalex-snapshot
Integrating QDWD with pattern distinctness and local contrast for underwater saliency detection
inferredcites →https://doi.org/10.1016/j.neucom.2016.03.064openalex-snapshot
Reconstruction of normal and albedo of convex Lambertian objects by solving ambiguity matrices using SVD and optimization method
inferredcites →https://doi.org/10.1016/j.patcog.2019.107038openalex-snapshot
Underwater scene prior inspired deep underwater image and video enhancement
inferredcites →https://doi.org/10.1016/j.patrec.2017.05.023openalex-snapshot
A hybrid method for underwater image correction
inferredcites →https://doi.org/10.1016/s0143-8166(02)00138-0openalex-snapshot
Divergent-beam Lidar imaging in turbid water
inferredcites →https://doi.org/10.1038/scientificamerican1277-108openalex-snapshot
The Retinex Theory of Color Vision
inferredcites →https://doi.org/10.1109/access.2019.2928976openalex-snapshot
Underwater Image Enhancement With a Deep Residual Framework
inferredcites →https://doi.org/10.1109/cvpr.2009.5206515openalex-snapshot
Single image haze removal using dark channel prior
inferredcites →https://doi.org/10.1109/cvpr.2012.6247661openalex-snapshot
Enhancing underwater images and videos by fusion
inferredcites →https://doi.org/10.1109/cvpr.2017.186openalex-snapshot
Removing Rain from Single Images via a Deep Detail Network
inferredcites →https://doi.org/10.1109/cvpr.2019.00178openalex-snapshot
Sea-Thru: A Method for Removing Water From Underwater Images
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/icdsp.2016.7868625openalex-snapshot
Underwater image restoration based on contrast enhancement
inferredcites →https://doi.org/10.1109/icip.2014.7025927openalex-snapshot
A retinex-based enhancing approach for single underwater image
inferredcites →https://doi.org/10.1109/icra.2018.8460552openalex-snapshot
Enhancing Underwater Imagery Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/icsipa.2015.7412173openalex-snapshot
Underwater image restoration by red-dark channel prior and point spread function deconvolution
inferredcites →https://doi.org/10.1109/icsmc.2010.5642311openalex-snapshot
Enhancing the low quality images using Unsupervised Colour Correction Method
inferredcites →https://doi.org/10.1109/joe.2004.836395openalex-snapshot
Self-Tuning Underwater Image Restoration
inferredcites →https://doi.org/10.1109/joe.2005.850871openalex-snapshot
Recovery of Underwater Visibility and Structure by Polarization Analysis
inferredcites →https://doi.org/10.1109/joe.2019.2911447openalex-snapshot
Underwater Image Enhancement Using a Multiscale Dense Generative Adversarial Network
inferredcites →https://doi.org/10.1109/lsp.2018.2792050openalex-snapshot
Emerging From Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer
inferredcites →https://doi.org/10.1109/mcg.2016.26openalex-snapshot
Underwater Depth Estimation and Image Restoration Based on Single Images
inferredcites →https://doi.org/10.1109/oceans.2010.5664428openalex-snapshot
Initial results in underwater single image dehazing
inferredcites →https://doi.org/10.1109/oceans.2016.7761342openalex-snapshot
Estimation of ambient light and transmission map with common convolutional architecture
inferredcites →https://doi.org/10.1109/tbc.2019.2960942openalex-snapshot
Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map
inferredcites →https://doi.org/10.1109/tcsi.2017.2751671openalex-snapshot
Single Underwater Image Restoration Using Adaptive Attenuation-Curve Prior
inferredcites →https://doi.org/10.1109/tcsvt.2019.2963772openalex-snapshot
Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light
inferredcites →https://doi.org/10.1109/tip.2011.2179666openalex-snapshot
Underwater Image Enhancement by Wavelength Compensation and Dehazing
inferredcites →https://doi.org/10.1109/tip.2015.2491020openalex-snapshot
An Underwater Color Image Quality Evaluation Metric
inferredcites →https://doi.org/10.1109/tip.2016.2612882openalex-snapshot
Underwater Image Enhancement by Dehazing With Minimum Information Loss and Histogram Distribution Prior
inferredcites →https://doi.org/10.1109/tip.2017.2662206openalex-snapshot
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
inferredcites →https://doi.org/10.1109/tip.2017.2663846openalex-snapshot
Underwater Image Restoration Based on Image Blurriness and Light Absorption
inferredcites →https://doi.org/10.1109/tip.2018.2813092openalex-snapshot
Generalization of the Dark Channel Prior for Single Image Restoration
inferredcites →https://doi.org/10.1109/tip.2018.2887029openalex-snapshot
Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2019.2955241openalex-snapshot
An Underwater Image Enhancement Benchmark Dataset and Beyond
inferredcites →https://doi.org/10.1109/ucc.2013.81openalex-snapshot
Analysing Quality of Resilience in Fish4Knowledge Video Analysis Workflows
inferredcites →https://doi.org/10.1142/s0218001421540227openalex-snapshot
Underwater Image Enhancement with the Low-Rank Nonnegative Matrix Factorization Method
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/int.22890openalex-snapshot
Privacy‐preserving image retrieval in a distributed environment
inferred← citeshttps://doi.org/10.1002/int.22997openalex-snapshot
An effective and practical gradient inversion attack
inferred← citeshttps://doi.org/10.1007/s11227-025-07981-6openalex-snapshot
CDMM: conditional diffusion model with mamba for low-light underwater image enhancement
inferred← citeshttps://doi.org/10.1007/s11831-026-10729-xopenalex-snapshot
Advances in Deep Learning for Underwater Image Enhancement: A Systematic Analysis of Architectures, Benchmarks, and Open Challenges
inferred← citeshttps://doi.org/10.1007/s12559-024-10347-4openalex-snapshot
A Joint Network for Low-Light Image Enhancement Based on Retinex
inferred← citeshttps://doi.org/10.1016/j.aej.2025.04.078openalex-snapshot
DATDM: Dynamic attention transformer diffusion model for underwater image enhancement
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110469openalex-snapshot
A robust multi-scale feature fusion model for low-quality multi-source data in underwater environments
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106731openalex-snapshot
Dual-model: Revised imaging network and visual perception correction for underwater image enhancement
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130446openalex-snapshot
A robust underwater object tracking model with cross-modal selective joint representation and relationship enhancement of text and visual features
inferred← citeshttps://doi.org/10.1016/j.image.2026.117728openalex-snapshot
HASNet: Underwater image enhancement via Hierarchical Attention and Serial-Stage Decomposition
inferred← citeshttps://doi.org/10.1016/j.ins.2022.11.002openalex-snapshot
Many-objective evolutionary algorithm based on spatial distance and decision vector self-learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106809openalex-snapshot
Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing
inferred← citeshttps://doi.org/10.1016/j.patrec.2024.11.007openalex-snapshot
MACT: Underwater image color correction via Minimally Attenuated Channel Transfer
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3274926openalex-snapshot
Image Enhancement Guided Object Detection in Visually Degraded Scenes
inferred← citeshttps://doi.org/10.1109/yac66630.2025.11150194openalex-snapshot
Perception and Sensing Technologies for Underwater Robots: A Review
inferred← citeshttps://doi.org/10.1155/2024/3255233openalex-snapshot
A Multi-Attention Feature Distillation Neural Network for Lightweight Single Image Super-Resolution
inferred← citeshttps://doi.org/10.3389/fmars.2023.1226024openalex-snapshot
Generative adversarial networks with multi-scale and attention mechanisms for underwater image enhancement
inferred← citeshttps://doi.org/10.3390/jmse12010007openalex-snapshot
An Underwater Image Restoration Deep Learning Network Combining Attention Mechanism and Brightness Adjustment
inferred← citeshttps://doi.org/10.3390/mi14050946openalex-snapshot
A Two-Stage Screw Detection Framework for Automatic Disassembly Using a Reflection Feature Regression Model
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.